Determining Best Hardware, Software and Data Structures for Worker Guidance during a Complex Assembly Task

Author:

Anzengruber-Tanase Bernhard1,Sopidis Georgios1,Haslgrübler Michael1,Ferscha Alois2

Affiliation:

1. Pro2Future GmbH, Austria

2. University of Linz, Austria

Publisher

ACM

Reference31 articles.

1. A Collaborative Assembly Task to Assess Worker Skills in Robot Manufacturing Environments

2. Alexander Artemenko . 2021 . Keynote: Advances and Challenges of Industrial IoT. In 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). 526–526 . https://doi.org/10.1109/PerComWorkshops51409.2021.9431146 10.1109/PerComWorkshops51409.2021.9431146 Alexander Artemenko. 2021. Keynote: Advances and Challenges of Industrial IoT. In 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). 526–526. https://doi.org/10.1109/PerComWorkshops51409.2021.9431146

3. Shrehal Bohra Vinayak Naik and Varun Yeligar. 2021. Towards Putting Deep Learning on the Wrist for Accurate Human Activity Recognition. In 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). 605-610. https://doi.org/10.1109/PerComWorkshops51409.2021.9430979 10.1109/PerComWorkshops51409.2021.9430979

4. Shrehal Bohra Vinayak Naik and Varun Yeligar. 2021. Towards Putting Deep Learning on the Wrist for Accurate Human Activity Recognition. In 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). 605-610. https://doi.org/10.1109/PerComWorkshops51409.2021.9430979

5. The effects of projected versus display instructions on productivity, quality and workload in a simulated assembly task

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